About
About RAISE Suite
The Paradigm Shift:
"Algorithm to the Data"
Our Vision is for researchers to seamlessly and effortlessly apply Open-Science-based best practices, throughout the entire data, software and other outputs lifecycle by using FAIR-by-design services and workflows to deliver universally reproducible results.
The Context: Breaking the "Sociological" Barriers
Practical Resource Constraints
(Time, Effort, and Cost)
Practical Resource Constraints
Data sharing as an additional, time-consuming chore, that requires massive resources, significant storage space and qualified staff.
The Knowledge and Proficiency Gap
(Lack of Skills, DMP Literacy and Fragmented Tools)
The Knowledge and Proficiency Gap
Limited DMP technical expertise and inconsistent data collection hinder interoperability without expert guidance.
Sociological, Legal, and Trust Barriers
(Lack of Recognition, Loss of Control Fear and Regulatory Complexity)
Sociological, Legal, and Trust Barriers
Cultural barriers, weak incentives, fear of misuse, and complex regulations all discourage data sharing in research.
How RAISE Suite Addresses the Challenge
RAISE Suite is specifically designed to remove these barriers by replacing manual, time-consuming chores with FAIR-by-design automation. By automating the data lifecycle – from the moment of collection to the generation of the final dataset- we eliminate the perceived burden of time and effort. Through our Machine Actionable DMP (ma-DMP) and decentralized infrastructure, we ensure that researchers maintain control and receive the immutable recognition they deserve, transforming Open Science from a manual obligation into an effortless standard.
Project Identity
RAISE Suite Consortium
